Description
Photoplethysmography (PPG) is currently a leading and growing field of researchwithin the biomedical industry. With its primary use in pulse oximetry and capability
of quickly, non-intrusively, evaluating essential vital signs like heart rate and
oxygen levels. This thesis will explore the literature on new and innovative research
in pulse oximetry. Then introduce PPG signals including how to calculate heart rate,
oxygen saturation, and current problems, mainly focused on motion artifacts. The
development of hardware and software systems using Bluetooth to transmit data to
MATLAB for algorithm processing. Testing different signal processing techniques
and parameters evaluating their effects on algorithm accuracy and reduction of motion
artifact. Using accelerometers to identify motion and apply filters to effectively
reduce minor motion artifacts. Then perform real-time data analysis and algorithm
processing resulting in heart rate and oxygen level calculations.
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Details
Title
- PPG Signal Processing and Analysis
Contributors
- Muhn, George (Author)
- Redkar, Sangram (Thesis advisor)
- Nichols, Kevin (Committee member)
- Subramanian, Susheelkumar (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2022
Resource Type
Collections this item is in
Note
- Partial requirement for: M.S., Arizona State University, 2022
- Field of study: Engineering